Multi-Task Learning

Multi-task learning aims to learn multiple different tasks simultaneously while maximizing performance on one or all of the tasks.

( Image credit: Cross-stitch Networks for Multi-task Learning )

Papers

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 1126–1150 of 3687 papers

Title	Date	Tasks	Status	Score
Exploring the Synergy Between Vision-Language Pretraining and ChatGPT for Artwork Captioning: A Preliminary Study	Jan 21, 2023	Image CaptioningInformativeness	CodeCode Available	5
HeroNet: A Hybrid Retrieval-Generation Network for Conversational Bots	Jan 29, 2023	Multi-Task LearningQuestion Answering	CodeCode Available	5
Imbalanced multi-label classification using multi-task learning with extractive summarization	Mar 16, 2019	ClassificationExtractive Summarization	CodeCode Available	5
Hierarchical Multi-task learning framework for Isometric-Speech Language Translation	May 1, 2022	Machine TranslationMulti-Task Learning	CodeCode Available	5
Happy Are Those Who Grade without Seeing: A Multi-Task Learning Approach to Grade Essays Using Gaze Behaviour	May 25, 2020	Multi-Task LearningNamed Entity Recognition (NER)	CodeCode Available	5
Implicit Geometry and Interaction Embeddings Improve Few-Shot Molecular Property Prediction	Feb 4, 2023	Few-Shot LearningMolecular Docking	CodeCode Available	5
H2H: Heterogeneous Model to Heterogeneous System Mapping with Computation and Communication Awareness	Apr 29, 2022	Multi-Task Learning	CodeCode Available	5
HalluciNet-ing Spatiotemporal Representations Using a 2D-CNN	Dec 10, 2019	Action AnticipationAction Classification	CodeCode Available	5
Helping the Weak Makes You Strong: Simple Multi-Task Learning Improves Non-Autoregressive Translators	Nov 11, 2022	DecoderMachine Translation	CodeCode Available	5
Character-Level Neural Translation for Multilingual Media Monitoring in the SUMMA Project	Apr 5, 2016	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	CodeCode Available	5
Learning Interpretable Microscopic Features of Tumor by Multi-task Adversarial CNNs To Improve Generalization	Aug 4, 2020	DiagnosticMulti-Task Learning	CodeCode Available	5
Group Buying Recommendation Model Based on Multi-task Learning	Nov 25, 2022	Multi-Task LearningRepresentation Learning	CodeCode Available	5
GYM at Qur’an QA 2023 Shared Task: Multi-Task Transfer Learning for Quranic Passage Retrieval and Question Answering with Large Language Models	Dec 7, 2023	Multi-Task LearningPassage Retrieval	CodeCode Available	5
An Exploratory Deep Learning Approach for Predicting Subsequent Suicidal Acts in Chinese Psychological Support Hotlines	Aug 29, 2024	Multi-Task Learning	CodeCode Available	5
Improving Neural Story Generation by Targeted Common Sense Grounding	Aug 26, 2019	Common Sense ReasoningMulti-Task Learning	CodeCode Available	5
Helping Visually Impaired People Take Better Quality Pictures	May 14, 2023	Multi-Task Learning	CodeCode Available	5
Facial Affect Analysis: Learning from Synthetic Data & Multi-Task Learning Challenges	Jul 20, 2022	Multi-Task Learning	CodeCode Available	5
iCLIP: Bridging Image Classification and Contrastive Language-Image Pre-Training for Visual Recognition	Jan 1, 2023	Classificationimage-classification	CodeCode Available	5
DeePathology: Deep Multi-Task Learning for Inferring Molecular Pathology from Cancer Transcriptome	Aug 7, 2018	Missing ValuesMulti-Task Learning	CodeCode Available	5
ChangeMinds: Multi-task Framework for Detecting and Describing Changes in Remote Sensing	Oct 13, 2024	Change DetectionMulti-Task Learning	CodeCode Available	5
Improving Social Meaning Detection with Pragmatic Masking and Surrogate Fine-Tuning	Aug 1, 2021	DenoisingFew-Shot Learning	CodeCode Available	5
An Integrated Approach for Keyphrase Generation via Exploring the Power of Retrieval and Extraction	Apr 6, 2019	Keyphrase GenerationMulti-Task Learning	CodeCode Available	5
Evolutionary Multi-Task Injection Testing on Web Application Firewalls	Jun 12, 2022	Multi-Task LearningTranslation	CodeCode Available	5
Graph-based Knowledge Distillation by Multi-head Attention Network	Jul 4, 2019	Inductive BiasKnowledge Distillation	CodeCode Available	5
Event Causality Identification via Generation of Important Context Words	Jul 1, 2022	Event Causality IdentificationMulti-Task Learning	CodeCode Available	5

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All datasets QM9 Cityscapes test NYUv2 OMNIGLOT CelebA UTKFace wireframe dataset

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	PCGrad	∆m%	125.7	—	Unverified
2	CAGrad	∆m%	112.8	—	Unverified
3	IMTL-G	∆m%	77.2	—	Unverified
4	Nash-MTL	∆m%	62	—	Unverified
5	BayesAgg-MTL	∆m%	53.7	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	SwinMTL	mIoU	76.41	—	Unverified
2	Nash-MTL	mIoU	75.41	—	Unverified
3	MultiObjectiveOptimization	mIoU	66.63	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	SwinMTL	Mean IoU	58.14	—	Unverified
2	Nash-MTL	Mean IoU	40.13	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Gumbel-Matrix Routing	Average Accuracy	93.52	—	Unverified
2	Mixture-of-Experts	Average Accuracy	92.19	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	MGDA-UB	Error	8.25	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	BayesAgg-MTL	delta_m	-2.23	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	LETR	FH	83.3	—	Unverified